All use cases
- energy-utilities
- Maintenance & Reliability
- representative
Pairing Inspection Findings with Operating Data for Root-Cause Attribution
An asset owner sees an underperforming block in its SCADA data but cannot tell whether the cause is physical defect, soiling, or an inverter fault.
Runs onWayam EyeHow the work runs
The pressure that made this worth automating, the steps the system runs, and what came out the other side.
Pressure & Trigger Points
- Operating data shows that output is down but not why, so the investigation starts with a site visit.
- Inspection imagery shows physical condition but not its effect on generation.
- Neither source alone resolves whether the block needs cleaning, repair, or electrical work.
The run · 5 operational steps
Click any step to inspect telemetry signals, model reasoning, and governance gates.
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Signal and Image Alignment
Inspection findings are aligned to the SCADA blocks and strings they physically sit in.
Input Signal:
Real-time operational telemetry & queue
Reasoning Pattern:
MCP grounded vector inference
Governance Gate:
Policy constrained with audit write-back
Verified Business Outcomes
- Underperformance attributed to a cause before a crew is dispatched.
- Cleaning, repair, and electrical work routed correctly the first time.
- Diagnosis verified against subsequent generation rather than assumed.
Capabilities this relies on
- vision perception
- anomaly detection
- risk scoring
- alert routing
- system connectors
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